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bert-base-cased – AI Model by monstergems | AlphaNeural AI
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monstergems
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bert-base-cased
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transformers
tf
bert
token-classification
generated_from_keras_callback
autotrain_compatible
endpoints_compatible
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monstergems/bert-base-cased
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.2449
Validation Loss: 0.2547
Epoch: 2
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2.3e-05, 'decay_steps': 327, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.075}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.5682
0.3102
0
0.2962
0.2703
1
0.2449
0.2547
2
Framework versions
Transformers 4.47.1
TensorFlow 2.17.1
Datasets 3.2.0
Tokenizers 0.21.0
